Universal Economic Trends And The Role Of Digital Transformation For Sustainability

Necessity is the mother of innovation; this has been proved again. The Covid-19 has been put the entire global activities at nearly to halt. Major countries are experiencing slack in the economy. Significant sectors of the economy have been affected. Consider any domain they have been affected by the negative impact of Covid-19. Despite the negative impact and hope that has not been given up, we are observing transformation throughout different sectors to exit from the negative trend and maintain growth. In this, we are observing the significant role of digital transformation. Today primary keys of the economy are utilizing the digital solution to come out of this negative trend in growth and maintain consistency in the performance. Several digital solutions and ideas have recently been evolved to contribute to the digital transformation and keep leveraging the services. This transformation has been adding value to the economy, but it needs several issues to fulfill to be globally accepted. The paper highlights some significant impacts and solutions

The effects of scale on the costs of targeted HIV prevention interventions among female and male sex workers, men who have sex with men and transgenders in India

BACKGROUND: The India AIDS Initiative (Avahan) project is involved in rapid scale-up of HIV-prevention interventions in high-risk populations. This study examines the cost variation of 107 non-governmental organisations (NGOs) implementing targeted interventions, over the start up (defined as period from project inception until services to the key population commenced) and first 2 years of intervention. METHODS: The Avahan interventions for female and male sex workers and their clients, in 62 districts of four southern states were costed for the financial years 2004/2005 and 2005/2006 using standard costing techniques. Data sources include financial and economic costs from the lead implementing partners (LPs) and subcontracted local implementing NGOs retrospectively and prospectively collected from a provider perspective. Ingredients and step-down allocation processes were used. Outcomes were measured using routinely collected project data. The average costs were estimated and a regression analysis carried out to explore causes of cost variation. Costs were calculated in US$2006. RESULTS: The total number of registered people was 134,391 at the end of 2 years, and 124,669 had used STI services during that period. The median average cost of Avahan programme for this period was$76 per person registered with the project. Sixty-one per cent of the cost variation could be explained by scale (positive association), number of NGOs per district (negative), number of LPs in the state (negative) and project maturity (positive) (p<0.0001). CONCLUSIONS: During rapid scale-up in the initial phase of the Avahan programme, a significant reduction in average costs was observed. As full scale-up had not yet been achieved, the average cost at scale is yet to be realised and the extent of the impact of scale on costs yet to be captured. Scale effects are important to quantify for planning resource requirements of large-scale interventions. The average cost after 2 years is within the range of global scale-up costs estimates and other studies in India

The costs of scaling up HIV prevention for high risk groups: lessons learned from the Avahan Programme in India.

OBJECTIVE: The study objective is to measure, analyse costs of scaling up HIV prevention for high-risk groups in India, in order to assist the design of future HIV prevention programmes in South Asia and beyond. DESIGN: Prospective costing study. METHODS: This study is one of the most comprehensive studies of the costs of HIV prevention for high-risk groups to date in both its scope and size. HIV prevention included outreach, sexually transmitted infections (STI) services, condom provision, expertise enhancement, community mobilisation and enabling environment activities. Economic costs were collected from 138 non-government organisations (NGOs) in 64 districts, four state level lead implementing partners (SLPs), and the national programme level (Bill and Melinda Gates Foundation (BMGF)) office over four years using a top down costing approach, presented in US$2011. RESULTS: Mean total unit costs (2004-08) per person reached at least once a year and per monthly contact were US$ 235(56-1864) and US$82(12-969) respectively. 35$ 477 per person reached in 2004 to US$145 per person reached in 2008). At the service level also unit costs decreased slightly over time from US$ 68 to US$ 64 per person reached. CONCLUSIONS: Scaling up HIV prevention for high risk groups requires significant investment in expertise enhancement and programme administration. However, unit costs decreased with programme expansion in spite of an increase in the scope of activities

Soluble perlecan domain i enhances vascular endothelial growth factor-165 activity and receptor phosphorylation in human bone marrow endothelial cells

<p>Abstract</p> <p>Background</p> <p>Immobilized recombinant perlecan domain I (PlnDI) binds and modulates the activity of heparin-binding growth factors, <it>in vitro</it>. However, activities for PlnDI, in solution, have not been reported. In this study, we assessed the ability of soluble forms to modulate vascular endothelial growth factor-165 (VEGF₁₆₅) enhanced capillary tube-like formation, and VEGF receptor-2 phosphorylation of human bone marrow endothelial cells, <it>in vitro</it>.</p> <p>Results</p> <p>In solution, PlnDI binds VEGF₁₆₅in a heparan sulfate and pH dependent manner. Capillary tube-like formation is enhanced by exogenous PlnDI; however, PlnDI/VEGF₁₆₅mixtures combine to enhance formation beyond that stimulated by either PlnDI or VEGF₁₆₅alone. PlnDI also stimulates VEGF receptor-2 phosphorylation, and mixtures of PlnDI/VEGF₁₆₅reduce the time required for peak VEGF receptor-2 phosphorylation (Tyr-951), and increase Akt phosphorylation. PlnDI binds both immobilized neuropilin-1 and VEGF receptor-2, but has a greater affinity for neuropilin-1. PlnDI binding to neuropilin-1, but not to VEGF receptor-2 is dependent upon the heparan sulfate chains adorning PlnDI. Interestingly, the presence of VEGF₁₆₅but not VEGF₁₂₁significantly enhances PlnDI binding to Neuropilin-1 and VEGF receptor-2.</p> <p>Conclusions</p> <p>Our observations suggest soluble forms of PlnDI are biologically active. Moreover, PlnDI heparan sulfate chains alone or together with VEGF₁₆₅can enhance VEGFR-2 signaling and angiogenic events, <it>in vitro</it>. We propose PlnDI liberated during basement membrane or extracellular matrix turnover may have similar activities, <it>in vivo</it>.</p

Preparation and characterization of polyaniline-NiO nanocomposites via interfacial polymerization

Polyaniline-NiO nanocomposites were prepared by employing interfacial polymerization using ammonium persulphate as an oxidizing agent. The formations of regular nanocomposite materials were studied by Fourier transform infrared (FTIR) spectroscopy and XRD techniques. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) images were conducted to characterize the morphology. Thermo gravimetric (TG) analysis was carried out study the thermal stability of the resulting composites. Formation of conducting emeraldine salt form was concluded by electrical conductivity

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures

Dementia affects the patient’s memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though earlier studies have used speech features to recognize subjects suffering from dementia, they are often used along with other linguistic features obtained from transcriptions. This study explores significant standalone speech features to recognize dementia. The primary contribution of this work is to identify a compact set of speech features that aid in the dementia recognition process. The secondary contribution is to leverage machine learning (ML) and deep learning (DL) models for the recognition task. Speech samples from the Pitt corpus in Dementia Bank are utilized for the present study. The critical speech feature set of prosodic, voice quality and cepstral features has been proposed for the task. The experimental results demonstrate the superiority of machine learning (87.6 percent) over deep learning (85 percent) models for recognizing Dementia using the compact speech feature combination, along with lower time and memory consumption. The results obtained using the proposed approach are promising compared with the existing works on dementia recognition using speech

Analysis of differentially expressed genes in leaf rust infected bread wheat involving seedling resistance gene Lr28

Genome-wide transcriptome analysis of seedling resistance to leaf rust conferred by Lr28 gene in wheat (Triticum aestivum L.) was conducted to identify differentially expressed genes during incompatible interaction. A virulent leaf rust race 77-5 was used for inoculation of resistant (HD2329 + Lr28) and susceptible (HD2329 - Lr28) wheat NILs and cDNA-AFLP analyses was carried out. As many as 223 differential transcripts appeared following leaf rust inoculation; these included 122 transcripts that appeared exclusively in resistant NIL, whereas 39 transcripts appeared both in resistant and susceptible NILs. Sequence analyses of 37 transcripts, which appeared in the resistant NIL revealed that 15 transcripts had homology with genes involved in protein synthesis, signal transduction, transport, disease resistance and metabolism. The functions of remaining 22 transcripts could not be determined; these included six novel genes reported for the first time in wheat. Specific primers could be designed for 18 of the 37 transcripts, which included genes with putative and unknown functions. Quantitative real time PCR analysis was conducted using these 18 pairs of primers. A majority (13) of these transcripts appeared within 48 h reaching a peak value at 96 h in resistant NIL signifying their role in providing leaf rust resistance